Malnutrition is common and multifactorial in cancer patients (CP), combining the systemic inflammatory process with decreased food intake, loss of muscle and bone mass, and decreased functional status (FS). We aimed to track and evaluate the nutritional status (NS) of CP; associate results between hospitalized patients (HP) and day hospital patients (DHP); associate NS with tumor, symptoms, and FS.
Cross-sectional observational study in HP or DHP from Garcia de Orta Hospital, over 18?years old. NS was monitored and evaluated using Nutritional Risk Screening (NRS-2002), Patient-Generated Subjective Global Assessment (PG-SGA), and anthropometric and biochemical parameters. To assess FS we used the Eastern Cooperative Oncology Group (ECOG), Karnofsky Performance Scale Index (KPSI), and handgrip dynamometer (HGD).
The 265 CP (114-HP, 151-DHP), of which 34.2%-HP and 17.2%-DHP had low BMI. From NRS-2002, 86.0% and 35.8% were respectively at nutritional risk. Using PG-SGA, 93.0% and 39.7% were respectively malnourished. PG-SGA were positively correlated with ECOG (?&lt;?0.01) and negatively correlated with KPSI (?&lt;?0.01), BMI (?&lt;?0.01), and handgrip strength-HGS (?&lt;?0.01-DHP and ?&lt;?0.05-HP).
PG-SGA and FS scales are appropriate and validated tools for early identification of malnutrition and FS in CP. HGD can be a useful tool for assessing FS and NS.
PG-SGA and FS scales are appropriate and validated tools for early identification of malnutrition and FS in CP. HGD can be a useful tool for assessing FS and NS.In a majority of patients with suspected sacroiliitis (SI) who underwent sacroiliac magnetic resonance imaging (MRI), imaging studies may be normal, may depict other causes for pain, or may show clinically irrelevant incidental findings.
To determine the prevalence of possible etiologies other than SI and frequency of incidental findings demonstrated on sacroiliac MRI examinations in a cohort of patients with lower back pain and suspected SI.
Sacroiliac MRI examinations of 1421 patients with suspected SI were retrospectively reviewed. In patients without SI findings, other potential causes for lower back pain and incidental findings were documented.
SI was present in 535 of 1421 patients (37.6%). In 886 of the patients whose MRI studies were negative for SI, other possible causes for lower back pain or incidental findings were seen in 386 (43.5%). The most common musculoskeletal (MSK) finding was lumbosacral transitional vertebra (8.6%) followed by findings suggesting piriformis syndrome (4.2%), spondylosis (3.7%), and sacral insufficiency fractures (1.8%). The most common non-MSK findings were follicular cysts (15.3%) and uterine fibroids (4.9%).
In patients with suspected SI but negative MRI examinations for SI, some other possible causes for lower back pain and several incidental findings can be seen on imaging. The presence of these findings may explain the patient's symptoms, and awareness of these conditions may be helpful in patient management and individualizing treatment.
In patients with suspected SI but negative MRI examinations for SI, some other possible causes for lower back pain and several incidental findings can be seen on imaging. The presence of these findings may explain the patient's symptoms, and awareness of these conditions may be helpful in patient management and individualizing treatment.Multisite studies can considerably increase the pool of normally aging individuals with neurodegenerative disorders and thereby expedite the associated research. Understanding the reproducibility of the parameters of related brain structures-including the hippocampus, amygdala, and entorhinal cortex-in multisite studies is crucial in determining the impact of healthy aging or neurodegenerative diseases.
To estimate the reproducibility of the fascinating structures by automatic (FreeSurfer) and manual segmentation methods in a well-controlled multisite dataset.
Three traveling individuals were scanned at 10 sites, which were equipped with the same equipment (3T Prisma Siemens). They used the same scan protocol (two inversion-contrast magnetization-prepared rapid gradient echo sequences) and operators. Validity coefficients (intraclass correlations coefficient [ICC]) and spatial overlap measures (Dice Similarity Coefficient [DSC]) were used to estimate the reproducibility of multisite data.
ICC and DSC values varied substantially among structures and segmentation methods, and values of manual tracing were relatively higher than the automated method. ICC and DSC values of structural parameters were greater than 0.80 and 0.60 across sites, as determined by manual tracing. Low reproducibility was observed in the amygdala parameters by automatic segmentation method (ICC?=?0.349-0.529, DSC?=?0.380-0.873). However, ICC and DSC scores of the hippocampus were higher than 0.60 and 0.65 by two segmentation methods.
This study suggests that a well-controlled multisite study could provide a reliable MRI dataset. Manual tracing of volume assessments is recommended for low reproducibility structures that require high levels of precision in multisite studies.
This study suggests that a well-controlled multisite study could provide a reliable MRI dataset. https://www.selleckchem.com/products/bms-935177.html Manual tracing of volume assessments is recommended for low reproducibility structures that require high levels of precision in multisite studies.Reliable size measurement of lymph node (LN) metastases is important for the evaluation of cancer treatment. However, image analyses without proper settings may result in inappropriate diagnoses and staging.
To investigate whether reconstruction slice thickness in computed tomography (CT) affects measurements of LN size and reproducibility.
We analyzed 48 patients with histological diagnoses of sigmoid colon and rectal cancer who underwent contrast-enhanced CT colonography as part of a surgical treatment preparation. A board-certified radiologist selected 106 LNs whose short-axis diameter was ?5?mm on 1-mm-thick images; the short-axis diameters were measured on 1- and 5-mm-thick images by the radiologist and residents and compared using Wilcoxon matched-pairs signed rank test. Data variation and reproducibility were evaluated using the F test and Bland-Altman analysis. &lt;0.05 was considered significant.
Short-axis diameters measured on 5-mm-thick images were significantly lower than those measured on 1-mm-thick images (&lt;0.